Add governance to your existing deploy — without re-platforming
You already deploy somewhere that works. The problem usually isn't the host — it's that nothing gates a risky change, scopes an AI agent, or proves what happened in production. That's a layer you add on top, not a migration you suffer through.
The gap your host doesn't fill
Your hosting platform's job is to take your code and run it. It does that well. But hosting was never meant to answer the operational questions that actually cause outages and incidents:
- Who approved the migration that just ran against the production database?
- What can this AI agent actually do if it goes off-script — and who's stopping it?
- When something broke at 2am, what exactly changed, who changed it, and can we prove and undo it?
Those aren't hosting features. They're governance features — a different layer. And the instinct to "switch platforms" to get them is usually wrong: you don't need a new place to run your code, you need a control layer over the place you already run it.
What "governance" actually means
Stripped of buzzwords, production governance is four concrete controls:
- An approval rule. Use manual approval for risky changes, an allowlist for known-safe work, or automatic approval where that matches your policy.
- Least-privilege access. Humans, scripts, and AI agents act through the layer, never with raw production credentials. The layer decides what's allowed.
- Bounded action evidence. Configured managed actions should retain actor, time, scope, and result where available; absence of evidence is not proof that nothing happened.
- A recovery plan. Define what can be restored or redeployed before a risky change ships, so recovery is deliberate instead of improvised.
How to add it on top of what you have
The model is simple: keep deploying the way you do today, and put a control plane in front of the actions that change production. With Infraveil specifically:
- Your application continues to run on your own servers. Infraveil hosts the management dashboard and does not provide compute or hosting.
- Managed actions follow the approval mode you choose: manual, allowlist, or automatic.
- Agents and automations get scoped, least-privilege access instead of god-mode credentials.
- Managed actions create a change record, with the available recovery controls shown in context.
Your host keeps doing what it's good at. Infraveil adds the operating and authority layer over the part that lives on your infrastructure.
The reframe. You're not choosing a new place to deploy. You're defining what may change managed production paths, which approval mode applies, what bounded evidence is retained, and which actions have a tested recovery path.
The AI-agent case
This matters most the moment an AI agent — Claude Code, Cursor, or your own — can touch production. An agent with real credentials and no gate is one bad plan away from deleting data or shipping a broken change unsupervised. Governance is the difference between "the agent proposed a destructive action and a human declined" and "the agent ran a destructive action and we found out later." You keep the agent's speed; you just stop giving it the keys to the kingdom.
Keep your host. Add the control plane.
Infraveil manages approved service releases on servers you control. Choose manual, allowlist, or automatic approval, see what changed, and use the recovery controls available for that service. No hosting migration is required.
See the live demo →Frequently asked questions
Do I have to switch hosting providers?
No. Governance is a separate layer from hosting. Infraveil's hosted management plane coordinates configured production-changing actions for applications on supported servers you control; your current hosting provider continues to run the application.
What does governance mean for a deploy?
Use manual approval where a per-change human veto is required; exact-hash allowlisting preauthorizes matching releases, while automatic approval removes that practical veto. Scope credentials, retain configured evidence, and design rollback separately because not every action is reversible.
How do I stop an AI agent from breaking production?
Route managed actions through a control layer that scopes access and applies the approval mode you choose. The system records those actions, while available recovery and rollback depend on the service, configuration, and infrastructure.